The AI 100 is CB Insights’ annual list of the 100 most promising private AI companies in the world. This year’s winners are working on generative AI infrastructure, emotion analytics, general-purpose humanoids, and more. — Read More
Those of us who have spent the last few decades reporting on technology have seen fads and fashions rise and fall on investment bubbles.
In the late 1990s it was dot-com companies, more recently crypto, blockchain, NFTs, driverless cars, the “metaverse.” All have had their day in the sun amid promises they would change the world, or at least banking and finance, the arts, transportation, society at large. To date, those promises are spectacularly unfulfilled.
That brings us to artificial intelligence chatbots.
In from three to eight years we will have a machine with the general intelligence of an average human being…. In a few months, it will be at genius level and a few months after that its powers will be incalculable. — AI pioneer Marvin Minsky — in 1970
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The Associated Press on Thursday said it reached a two-year deal with OpenAI, the parent company to ChatGPT, to share access to select news content and technology.
Why it matters: The deal marks one of the first official news-sharing agreements made between a major U.S. news company and an artificial intelligence firm. — Read More
“The best reason to believe that we can manage the risks is that we have done it before.”
Bill Gates has joined the chorus of big names in tech who have weighed in on the question of risk around artificial intelligence. The TL;DR? He’s not too worried, we’ve been here before. — Read More
Today, I’m talking to Demis Hassabis, the CEO of Google DeepMind, the newly created division of Google responsible for AI efforts across the company. Google DeepMind is the result of an internal merger: Google acquired Demis’ DeepMind startup in 2014 and ran it as a separate company inside its parent company, Alphabet, while Google itself had an AI team called Google Brain.
Google has been showing off AI demos for years now, but with the explosion of ChatGPT and a renewed threat from Microsoft in search, Google and Alphabet CEO Sundar Pichai made the decision to bring DeepMind into Google itself earlier this year to create… Google DeepMind.
What’s interesting is that Google Brain and DeepMind were not necessarily compatible or even focused on the same things: DeepMind was famous for applying AI to things like games and protein-folding simulations. The AI that beat world champions at Go, the ancient board game? That was DeepMind’s AlphaGo. Meanwhile, Google Brain was more focused on what’s come to be the familiar generative AI toolset: large language models for chatbots, editing features in Google Photos, and so on. This was a culture clash and a big structure decision with the goal of being more competitive and faster to market with AI products. Read More
If you collected lists of techniques for doing great work in a lot of different fields, what would the intersection look like? I decided to find out by making it.
Partly my goal was to create a guide that could be used by someone working in any field. But I was also curious about the shape of the intersection. And one thing this exercise shows is that it does have a definite shape; it’s not just a point labelled “work hard.”
The following recipe assumes you’re very ambitious. — Read More
Meet the Generative Eight — and The Next Gen of AI companies building the future
Generative AI has taken the world by storm, and the companies building the future are in a race to hire the best available tech talent.
[L]arge companies are for the most part playing catchup, as their top talent gets poached. There is a new crop of nimble, innovative AI companies — pure play startups with AI at their core. They are in a race for tech talent. At Lightspeed, we’ve been investing in AI for over seven years, and have been tracking this space for even longer. — Read More
Spurred by the splashy emergence of generative artificial intelligence and an array of other AI applications, experts participating in a new Pew Research Center canvassing have great expectations for digital advances across many aspects of life by 2035. They anticipate striking improvements in health care and education. They foresee a world in which wonder drugs are conceived and enabled in digital spaces; where personalized medical care gives patients precisely what they need when they need it; where people wear smart eyewear and earbuds that keep them connected to the people, things and information around them; where AI systems can nudge discourse into productive and fact-based conversations; and where progress will be made in environmental sustainability, climate action and pollution prevention. — Read More
The AI Business Model Framework is a comprehensive framework developed by Gennaro Cuofano that analyzes AI-based business models based on different layers that contribute to the overall value and success of the business: the foundational layer, the value layer, the distribution layer, and the financial layer.
Foundational Layer: What’s the underlying technological paradigm of the business?
Value Layer: How does the AI underlying tech stack enhance value for the user/customer?
Distribution Layer: What key channels is the business leveraging, and how is the company building distribution into the product?
Financial Layer: Can the company sustain its cost structure and generate enough profits and cash flows to sustain continuous innovation?
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